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extr
Advanced tools
Named Entity Recognition (NER) and Relation Extraction (RE) library using Regular Expressions
Named Entity Recognition (NER) and Relation Extraction (RE) library using Regular Expressions
pip install extr
text = 'Ted is a Pitcher.'
Find Named Entities from text.
from extr import RegEx, RegExLabel
from extr.entities import EntityExtractor
entity_extractor = EntityExtractor([
RegExLabel('PERSON', [
RegEx([r'ted'], re.IGNORECASE)
]),
RegExLabel('POSITION', [
RegEx([r'pitcher'], re.IGNORECASE)
]),
])
entities = entity_extractor.get_entities(text)
## entities == [
## <Entity label="POSITION" text="Pitcher" span=(9, 16)>,
## <Entity label="PERSON" text="Ted" span=(0, 3)>
## ]
or add a knowledge base
from extr import RegEx, RegExLabel
from extr.entities import create_entity_extractor
entity_extractor = create_entity_extractor(
[
RegExLabel('POSITION', [
RegEx([r'pitcher'], re.IGNORECASE)
]),
],
kb={
'PERSON': ['Ted']
}
)
entities = entity_extractor.get_entities(text)
## entities == [
## <Entity label="POSITION" text="Pitcher" span=(9, 16)>,
## <Entity label="PERSON" text="Ted" span=(0, 3)>
## ]
Annotate text to display in HTML.
from extr.entities.viewers import HtmlViewer
viewer = HtmlViewer()
viewer.append(text, entities)
html = viewer.create_view(custom_styles="""
.lb-PERSON {
background-color: orange;
}
.lb-POSITION {
background-color: yellow;
}
""")
Annotate and Extract Relationships between Entities
from extr.entities import EntityAnnotator
from extr.relations import RelationExtractor, \
RegExRelationLabelBuilder
## define relationship between PERSON and POSITION
relationship = RegExRelationLabelBuilder('is_a') \
.add_e1_to_e2(
'PERSON', ## e1
[
## define how the relationship exists in nature
r'\s+is\s+a\s+',
],
'POSITION' ## e2
) \
.build()
relations_to_extract = [relationship]
## `entities` see 'Entity Extraction' above
annotated_text = EntityAnnotator().annotate(text, entities)
relations = RelationExtractor(relations_to_extract).extract(annotated_text, entities)
## relations == [
## <Relation e1="Ted" r="is_a" e2="Pitcher">
## ]
FAQs
Named Entity Recognition (NER) and Relation Extraction (RE) library using Regular Expressions
We found that extr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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